Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification
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Gang Hua | Shih-Fu Chang | Yadong Mu | Wei Fan | Shih-Fu Chang | G. Hua | Yadong Mu | Wei Fan
[1] Thorsten Joachims,et al. Training linear SVMs in linear time , 2006, KDD '06.
[2] Kristen Grauman,et al. Kernelized Locality-Sensitive Hashing , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Alexandr Andoni,et al. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions , 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).
[4] Kristen Grauman,et al. Kernelized locality-sensitive hashing for scalable image search , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[5] Ivor W. Tsang,et al. Core Vector Machines: Fast SVM Training on Very Large Data Sets , 2005, J. Mach. Learn. Res..
[6] Ameet Talwalkar,et al. On the Impact of Kernel Approximation on Learning Accuracy , 2010, AISTATS.
[7] Michael W. Mahoney,et al. Approximating a Gram Matrix for Improved Kernel-Based Learning (Extended Abstract) , 2005 .
[8] Avner Magen,et al. Low rank matrix-valued chernoff bounds and approximate matrix multiplication , 2010, SODA '11.
[9] John C. Platt. Using Analytic QP and Sparseness to Speed Training of Support Vector Machines , 1998, NIPS.
[10] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[11] Ameet Talwalkar,et al. Sampling Methods for the Nyström Method , 2012, J. Mach. Learn. Res..
[12] Dan Roth,et al. Selective block minimization for faster convergence of limited memory large-scale linear models , 2011, KDD.
[13] Shuicheng Yan,et al. Weakly-supervised hashing in kernel space , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[14] Moses Charikar,et al. Similarity estimation techniques from rounding algorithms , 2002, STOC '02.
[15] Chih-Jen Lin,et al. A dual coordinate descent method for large-scale linear SVM , 2008, ICML '08.
[16] Luca Zanni,et al. Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems , 2006, J. Mach. Learn. Res..
[17] Petros Drineas,et al. Fast Monte Carlo Algorithms for Matrices II: Computing a Low-Rank Approximation to a Matrix , 2006, SIAM J. Comput..
[18] Wei Liu,et al. Scalable similarity search with optimized kernel hashing , 2010, KDD.
[19] Sanjoy Dasgupta,et al. An elementary proof of a theorem of Johnson and Lindenstrauss , 2003, Random Struct. Algorithms.
[20] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[21] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[22] Nicole Immorlica,et al. Locality-sensitive hashing scheme based on p-stable distributions , 2004, SCG '04.
[23] Koby Crammer,et al. Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification , 2011, KDD.
[24] Andrew Zisserman,et al. Efficient Additive Kernels via Explicit Feature Maps , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Gunnar Rätsch,et al. Kernel PCA and De-Noising in Feature Spaces , 1998, NIPS.
[26] Fuxin Li,et al. Chebyshev Approximations to the Histogram $\chi^2$ Kernel , 2012 .
[27] Edward Y. Chang,et al. Parallelizing Support Vector Machines on Distributed Computers , 2007, NIPS.
[28] Alexander J. Smola,et al. Bundle Methods for Machine Learning , 2007, NIPS.
[29] Tong Zhang,et al. Solving large scale linear prediction problems using stochastic gradient descent algorithms , 2004, ICML.
[30] Ping Li,et al. Hashing Algorithms for Large-Scale Learning , 2011, NIPS.
[31] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[32] Matthias W. Seeger,et al. Using the Nyström Method to Speed Up Kernel Machines , 2000, NIPS.
[33] Nathan Srebro,et al. Beating SGD: Learning SVMs in Sublinear Time , 2011, NIPS.
[34] Yoram Singer,et al. Pegasos: primal estimated sub-gradient solver for SVM , 2011, Math. Program..
[35] Shih-Fu Chang,et al. Accelerated Large Scale Optimization by Concomitant Hashing , 2012, ECCV.
[36] Cristian Sminchisescu,et al. Chebyshev approximations to the histogram χ2 kernel , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Alexander J. Smola,et al. Learning with Kernels: support vector machines, regularization, optimization, and beyond , 2001, Adaptive computation and machine learning series.
[38] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[39] Benjamin Recht,et al. Random Features for Large-Scale Kernel Machines , 2007, NIPS.